Presenters:  Thom Kobayashi

Mr. Thomas Kobayashi received his BS in Chemical Engineering from Rice University, and a Masters in Technology Commercialization from the University of Texas McCombs School of Business, graduating with Honors. He spent twenty years as a semiconductor process engineer, working mostly on process development in Motorola’s (now NXP’s) Advanced Products Research and Development Laboratory where he was an inventor on over 40 patents.  He spent time drafting patents under the supervision of an attorney. He then became a Principal Engineer and worked as a portfolio manager at a Large Patent Aggregator managing an 8k asset portfolio.

He is currently a Senior Sales Engineer at CPA Global, where he specializes in solving client challenges using the Innography Business Intelligence Platform.

Abstract:  Best practices in patent portfolio maintenance are often handed down or are decided for practical reasons such as budget limitation.  But is this the right way to decide how much to keep and cut?  What are my competitors doing?  By examining historical behavior, we try to understand how to benchmark our own behavior and how we compare against the greater population of other players in the space.  While the data we are looking at is general in nature, by extracting more specific data sets, the same type of analysis can be used to examine the behavior within a certain industry or even for a particular competitor.

In this session, you'll be able to:

• Give concrete examples of how access to data can be used to educate yourself about what other companies are doing behind the scenes.
• Obtain a fresh look at how correlated Big Data can help with understanding current challenges.
• How larger companies compare the smaller ones with respect to maintaining their patent portfolios
• Run your own analysis specific to your industry to see how your practice aligns with those generically present in your industry.